17 research outputs found

    Parameter Efficient Local Implicit Image Function Network for Face Segmentation

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    Face parsing is defined as the per-pixel labeling of images containing human faces. The labels are defined to identify key facial regions like eyes, lips, nose, hair, etc. In this work, we make use of the structural consistency of the human face to propose a lightweight face-parsing method using a Local Implicit Function network, FP-LIIF. We propose a simple architecture having a convolutional encoder and a pixel MLP decoder that uses 1/26th number of parameters compared to the state-of-the-art models and yet matches or outperforms state-of-the-art models on multiple datasets, like CelebAMask-HQ and LaPa. We do not use any pretraining, and compared to other works, our network can also generate segmentation at different resolutions without any changes in the input resolution. This work enables the use of facial segmentation on low-compute or low-bandwidth devices because of its higher FPS and smaller model size.Comment: Accepted at CVPR 202

    Novel poly herbal muco-adhesive formulation for treatment of oral aphthous ulcer

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    Background: Oral ulcers are the most frequent lesions that cause discomfort for which the patients seek treatment for alleviating pain and facilitate early healing. Various treatment modalities from modern medicine and Ayurveda are used in the form of ointments and mouthwashes with varying efficacy. Anti-inflammatory medicines, enzymatic preparations, gamma globulins and immune suppressants have been used.Methods: Extracts of five chosen herbs, Glycyrrhiza glabra, Acacia catechu, Punica Granatum, Curcuma longa and Mentha piperita were used for preparing mucoadhesive gel for the treatment of oral aphthous ulcers of any etiology. Gel was prepared by cold method of Schmolka at M/s Pharmanza Herbals Pvt. Ltd., India. Five formulations were prepared with using different concentration of active pharmaceutical ingredient (API) extracts.Results: Formulations were analyzed for different physical and chemical properties. Preliminary trial was done with five formulations. The F5 formulation has the premier viscosity because of its higher polymer content; it is able to remain on mucous surface long enough to release its API effect. Since the uniformity, proper appearance, stability and acceptable viscosity and gel strength the F1 formulation was selected as the superior formulation which could prove ideal for treatment of oral aphthous ulcers.Conclusions: The results provide strong evidence that polyherbal gel containing extracts of Glycyrrhiza glabra, Acacia catechu, Punica granatum, Curcuma longa and Mentha piperita on the basis of their analgesic, anti-inflammatory, antioxidant, wound healing, antimicrobial and local anesthetic properties can be used as an effective and safe alternative for the management of aphthous ulcers

    VGFlow: Visibility guided Flow Network for Human Reposing

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    The task of human reposing involves generating a realistic image of a person standing in an arbitrary conceivable pose. There are multiple difficulties in generating perceptually accurate images, and existing methods suffer from limitations in preserving texture, maintaining pattern coherence, respecting cloth boundaries, handling occlusions, manipulating skin generation, etc. These difficulties are further exacerbated by the fact that the possible space of pose orientation for humans is large and variable, the nature of clothing items is highly non-rigid, and the diversity in body shape differs largely among the population. To alleviate these difficulties and synthesize perceptually accurate images, we propose VGFlow. Our model uses a visibility-guided flow module to disentangle the flow into visible and invisible parts of the target for simultaneous texture preservation and style manipulation. Furthermore, to tackle distinct body shapes and avoid network artifacts, we also incorporate a self-supervised patch-wise "realness" loss to improve the output. VGFlow achieves state-of-the-art results as observed qualitatively and quantitatively on different image quality metrics (SSIM, LPIPS, FID).Comment: 9 pages, 18 figures, computer visio

    UMFuse: Unified Multi View Fusion for Human Editing applications

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    Numerous pose-guided human editing methods have been explored by the vision community due to their extensive practical applications. However, most of these methods still use an image-to-image formulation in which a single image is given as input to produce an edited image as output. This objective becomes ill-defined in cases when the target pose differs significantly from the input pose. Existing methods then resort to in-painting or style transfer to handle occlusions and preserve content. In this paper, we explore the utilization of multiple views to minimize the issue of missing information and generate an accurate representation of the underlying human model. To fuse knowledge from multiple viewpoints, we design a multi-view fusion network that takes the pose key points and texture from multiple source images and generates an explainable per-pixel appearance retrieval map. Thereafter, the encodings from a separate network (trained on a single-view human reposing task) are merged in the latent space. This enables us to generate accurate, precise, and visually coherent images for different editing tasks. We show the application of our network on two newly proposed tasks - Multi-view human reposing and Mix&Match Human Image generation. Additionally, we study the limitations of single-view editing and scenarios in which multi-view provides a better alternative.Comment: 8 pages, 6 figure

    Clinical, hematological and cytogenetic profile in fibroblast growth factor receptor 1 rearranged hematoloymphoid malignancies

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    The background of this study is FGFR1 belongs to a family of four, high-affinity receptor tyrosine kinase and is a legitimate oncogene associated with uterine, cervical, prostate, bladder, colorectal and lung cancers. It is rarely concomitant in myeloid and lymphoid neoplasms but has an aggressive clinical course with a high mortality rate when present. Cytogenetic abnormalities involving the FGFR1 gene is most frequently observed in AML, MPN with eosinophilia, T-ALL and T-LBL with ZMYM2 gene being the most common fusion partner. Methods of this study was to authors report a series of 4 cases with FGFR1 rearrangements. Results is three patients presented as T-cell Lymphoblastic lymphoma (T-LBL) and one as mixed phenotype acute leukemia (MPAL). The T-LBL cases harboured the FGFR1/ ZMYM2 fusion and the MPAL case harbored the CNTRL/FGFR1 fusion as identified by conventional cytogenetics and confirmed by molecular studies. Conclusion is authors herewith describe the clinical, biochemical, molecular and cytogenetic features observed in these cases

    Changes in autofluorescence based organoid model of muscle invasive urinary bladder cancer

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    Muscle invasive urinary bladder cancer is one of the most lethal cancers and its detection at the time of transurethral resection remains limited and diagnostic methods are urgently needed. We have developed a muscle invasive transitional cell carcinoma (TCC) model of the bladder using porcine bladder scaffold and the human bladder cancer cell line 5637. The progression of implanted cancer cells to muscle invasion can be monitored by measuring changes in the spectrum of endogenous fluorophores such as reduced nicotinamide dinucleotide (NADH) and flavins. We believe this could act as a useful tool for the study of fluorescence dynamics of developing muscle invasive bladder cancer in patients

    Free space optical communication

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    This book provides an in-depth understanding of free space optical (FSO) communication with a particular emphasis on optical beam propagation through atmospheric turbulence. The book is structured in such a way that it provides a basic framework for the beginners and also gives a concise description from a designer’s perspective. The book provides an exposure to FSO technology, fundamental limitations, design methodologies, system trade-offs, acquisition, tracking and pointing (ATP) techniques and link-feasibility analysis. The contents of this book will be of interest to professionals and researchers alike. The book may also be used as a textbook for engineering coursework and professional training
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